Gender-related patterns of psychiatric disorder clustering among bariatric surgery candidates: A latent class analysis

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorDUARTE-GUERRA, Leorides Severo
dc.contributor.authorCOELHO, Bruno Mendonca
dc.contributor.authorSANTO, Marco Aurelio
dc.contributor.authorLOTUFO-NETO, Francisco
dc.contributor.authorWANG, Yuan-Pang
dc.date.accessioned2018-09-13T15:23:44Z
dc.date.available2018-09-13T15:23:44Z
dc.date.issued2018
dc.description.abstractBackground: Psychiatric disorders tend to distribute unevenly in women and men with severe obesity. The current research aimed to identify homogeneous clusters of concurrent psychiatric disorders among patients seeking bariatric surgery, by gender. Methods: We recruited a consecutive sample of 393 candidates with obesity (311 women and 82 men) in a university-based bariatric center. Trained clinicians assessed psychiatric disorders through the Structured Clinical Interview for DSM-IV (SCID). Latent class analysis categorized pre-surgical patients into uniform clusters of co-occurring psychiatric disorders. Results: For both genders, the 3-class psychopathological clustering was the best-fitting solution. Among women, the latent classes were: (1) ""oligosymptomatic"", wherein 42% of patients showed low probability of psychiatric disorders; (2) ""bipolar with comorbidities"", in 33%; and (3) ""anxiety/depression"", in 25%. Among men, (1) ""bipolar with comorbidities"" was found in 47% of patients; (2) ""oligosymptomatic"", in 40%; and (3) ""anxiety/depression"", in 13%. For both genders, the probability of presenting eating disorders was higher in both ""bipolar"" and ""anxiety/depression"" classes. Substance use disorders was prominent among ""bipolar"" men. In comparison with ""oligosymptomatic"" class, the likelihood of higher BMI was observed among ""bipolar"" men and poorer work attainment among men with ""anxiety/depression"". Limitation: Participants was cross-sectionally drawn from a single bariatric center. Conclusions: Pre-surgical men and women with severe obesity were distributed in three comorbidity profiles and revealed analogous psychopathological patterns. The class of ""bipolar disorders"" most likely presented comorbidity with eating and substance use disorder. This natural clustering of psychiatric disorders among bariatric patients suggests gender-related therapeutic approaches and surgical outcomes.
dc.description.indexMEDLINE
dc.description.sponsorshipFoundation for Research Support of the State of Sao Paulo (FAPESP) [2012/17,435-7]
dc.identifier.citationJOURNAL OF AFFECTIVE DISORDERS, v.240, p.72-78, 2018
dc.identifier.doi10.1016/j.jad.2018.07.036
dc.identifier.eissn1573-2517
dc.identifier.issn0165-0327
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/28116
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofJournal of Affective Disorders
dc.rightsrestrictedAccess
dc.rights.holderCopyright ELSEVIER SCIENCE BV
dc.subjectPsychiatric disorders
dc.subjectObesity
dc.subjectComorbidity
dc.subjectLatent class analysis
dc.subjectBipolar disorders
dc.subjectBariatric surgery
dc.subject.othernational comorbidity survey
dc.subject.otherbody-mass index
dc.subject.otherstructured clinical interviews
dc.subject.othermental-health
dc.subject.otherepidemiologic survey
dc.subject.otherbipolar disorder
dc.subject.othereating-disorders
dc.subject.otherprofile analysis
dc.subject.otherpatients seeking
dc.subject.othersex-differences
dc.subject.wosClinical Neurology
dc.subject.wosPsychiatry
dc.titleGender-related patterns of psychiatric disorder clustering among bariatric surgery candidates: A latent class analysis
dc.typearticle
dc.type.categoryoriginal article
dc.type.versionpublishedVersion
dspace.entity.typePublication
hcfmusp.citation.scopus2
hcfmusp.contributor.author-fmusphcLEORIDES SEVERO DUARTE GUERRA
hcfmusp.contributor.author-fmusphcBRUNO MENDONCA COELHO
hcfmusp.contributor.author-fmusphcMARCO AURELIO SANTO
hcfmusp.contributor.author-fmusphcFRANCISCO LOTUFO NETO
hcfmusp.contributor.author-fmusphcWANG YUAN PANG
hcfmusp.description.beginpage72
hcfmusp.description.endpage78
hcfmusp.description.volume240
hcfmusp.origemWOS
hcfmusp.origem.pubmed30056172
hcfmusp.origem.scopus2-s2.0-85050501768
hcfmusp.origem.wosWOS:000442074600010
hcfmusp.publisher.cityAMSTERDAM
hcfmusp.publisher.countryNETHERLANDS
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